6 papers
Adaptive Payload-Aided Near-Field Beam Tracking via Thompson Sampling
Junchi Liu, Zijun Wang, Shawn Tsai +1
Extremely large antenna arrays at high frequencies substantially extend the radiative near-field region in 6G networks, making mobile beam alignment depend jointly on user angle an…
Efficient Near Field Beam Tracking via Thompson Sampling
Junchi Liu, Zijun Wang, Shawn Tsai +1
The shift to the radiative near field region due to large antenna arrays necessitates beamforming that accounts for both angle and range, evolving mobility management into a joint…
GP Bandit-Assisted Two-Stage Sparse Phase Retrieval for Amplitude-Only Near-Field Beam Training
Zijun Wang, Shawn Tsai, Ye Hu +1
The transition to Extremely Large Antenna Arrays (ELAA) in 6G introduces significant near-field effects, necessitating robust near-field beam training strategies in multi-path envi…
Precise Near-Field Beam Training with DFT Codebook based on Amplitude-only Measurement
Zijun Wang, Shawn Tsai, Rama Kiran +1
Extremely large antenna arrays (ELAAs) operating in high-frequency bands have spurred the development of near-field communication, driving advancements in beam training and signal…
Low-Complexity Near-Field Beam Training with DFT Codebook based on Beam Pattern Analysis
Zijun Wang, Rama Kiran, Shawn Tsai +1
Extremely large antenna arrays (ELAAs) operating in high-frequency bands have spurred the development of near-field communication, driving advancements in beam training design. Thi…
Sparsity-Aware Near-Field Beam Training via Multi-Beam Combination
Zijun Wang, Rama Kiran, Jinesh Nair +4
This paper proposes an adaptive near-field beam training method to enhance performance in multi-user and multipath environments. The approach identifies multiple strongest beams th…